The "moving wall" represents the time period between the last issue
available in JSTOR and the most recently published issue of a journal.
Moving walls are generally represented in years. In rare instances, a
publisher has elected to have a "zero" moving wall, so their current
issues are available in JSTOR shortly after publication.
Note: In calculating the moving wall, the current year is not counted.
For example, if the current year is 2008 and a journal has a 5 year
moving wall, articles from the year 2002 are available.

Terms Related to the Moving Wall

Fixed walls: Journals with no new volumes being added to the archive.

Absorbed: Journals that are combined with another title.

Complete: Journals that are no longer published or that have been
combined with another title.

Abstract

Inferring phylogenies from gene frequencies should be regarded as a statistical problem rather than treated in the framework of the hypothetico-deductive method. The approximations involved in a statistical treatment are discussed, as are the models of gene frequency change implicit in the use of statistical methods. In particular, the different genetic distance statistics have different assumptions. These are pointed out, and a Markov chain treatment of genetic drift in a small population is used to evaluate the behavior of a number of the most popular genetic distances. Distance measures that are standardized to correct for the effect of initial gene frequencies behave as expected, but only for moderate amounts of time and when initial gene frequencies are not extreme. The distance measures such as those by Balakrishnan and Sanghvi and by Cavalli-Sforza and Edwards, which are standardized for the effect of the initial gene frequencies, perform acceptably if the initial gene frequencies are not too extreme and the divergence time is not larger than twice the effective population size. A genetic distance based on discrete character coding of alleles according to their presence or absence shows quite unusual behavior. No genetic distance copes very well with extreme initial gene frequencies. The prospect of getting useable additional information from population samples of sequences is also discussed. Criticisms by J. S. Farris of an earlier paper that used statistical criteria to evaluate parsimony and compatibility methods are rebutted.